ML Engineer (Remote) (Sheffield)

ML Engineer (Remote) (Sheffield)

Sheffield Full-Time 50000 - 60000 € / year (est.) No home office possible
Outlier AI

At a Glance

  • Tasks: Shape the future of AI by training advanced generative systems with innovative projects.
  • Company: Join Outlier, a leader in AI feedback and collaboration with top tech firms.
  • Benefits: Enjoy remote work flexibility, competitive salary, and opportunities for professional growth.
  • Other info: Dynamic team environment with exciting challenges and career advancement potential.
  • Why this job: Make a real impact on cutting-edge AI technology and enhance autonomous agents.
  • Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.

The predicted salary is between 50000 - 60000 € per year.

About the Project

Outlier helps the world's most innovative companies improve their AI agents by providing human feedback. We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows.

Whether you are a passionate orchestration guru or experienced software developer — we want you to help us train the world's most advanced generative systems.

Ideal Qualifications

  • 2+ years of experience in backend engineering, AI automation, or complex systems integration.
  • Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting).
  • Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases.
  • Practical experience building for live, non-mocked environments and handling multi-turn system interactions.
  • Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors.

Nice to have

  • Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.
  • Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems.
  • High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress.
  • Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.

ML Engineer (Remote) (Sheffield) employer: Outlier AI

At Outlier, we pride ourselves on being an exceptional employer, offering a dynamic remote work environment that fosters innovation and collaboration. Our culture is built on continuous learning and growth, providing employees with ample opportunities to enhance their skills in cutting-edge AI technologies while working alongside industry leaders. Join us in Sheffield and be part of a team that not only values your contributions but also empowers you to shape the future of autonomous agents.

Outlier AI

Contact Detail:

Outlier AI Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land ML Engineer (Remote) (Sheffield)

Tip Number 1

Network like a pro! Reach out to folks in the AI and ML community, attend meetups, and engage on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving complex systems integration or AI automation. This is your chance to demonstrate your expertise beyond just a CV.

Tip Number 3

Prepare for technical interviews by brushing up on your coding skills and system design principles. Practice common algorithms and data structures, and be ready to discuss your past projects in detail.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to connect with us directly.

We think you need these skills to ace ML Engineer (Remote) (Sheffield)

Backend Engineering
AI Automation
Complex Systems Integration
Production-Grade Software Development
Modular Software Architecture
Python
JavaScript

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the ML Engineer role. Highlight your experience in backend engineering and any projects that showcase your skills in AI automation or complex systems integration. We want to see how your background aligns with what we're looking for!

Showcase Your Skills:When writing your application, don’t just list your skills—show us how you've used them! Include specific examples of projects where you’ve built production-grade software or worked with LLMs. This helps us understand your hands-on experience better.

Be Clear and Concise:We appreciate clarity! Make sure your application is easy to read and straight to the point. Use bullet points for key achievements and keep your language professional yet approachable. We want to get to know you without sifting through fluff!

Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining the StudySmarter team!

How to prepare for a job interview at Outlier AI

Know Your Tech Stack

Make sure you’re well-versed in the programming languages mentioned in the job description, especially Python and JavaScript. Brush up on your SQL skills too, as you'll likely be asked about your experience with databases during the interview.

Showcase Your Projects

Prepare to discuss specific projects where you've built production-grade software. Highlight your role in these projects, focusing on how you handled complex systems integration and any challenges you overcame.

Understand the Company’s Mission

Familiarise yourself with Outlier's work in AI and autonomous agents. Be ready to discuss how your skills can contribute to their mission of improving AI agents through human feedback, and think of ways you can add value to their projects.

Ask Insightful Questions

Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current projects, the technologies they use, or how they measure success in their AI systems. This demonstrates your enthusiasm and helps you gauge if it’s the right fit for you.